Analysis of Factors Leading to E-commerce Adoption

Subagja, Agus Dedi

doi:10.58905/apollo.v1i1.6

Cited by 20 publications

(18 citation statements)

References 10 publications

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“…Work ethic or work culture refers to the attitudes, values and principles that govern one's work behaviour (Omisore & A., 2015) and (Sapada et al, 2017). A good work ethic can help MSME owners to achieve their business goals and success and (Subagja, 2023). In this context, religious education can serve as a reinforcement and developer of MSME owners' work ethic.…”

Section: Resultsmentioning

confidence: 99%

Analysing the Role of Religious Education in Improving the Work Ethic of MSME Owners

Harahap

Ausat

Suherlan

2023

joe

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MSMEs are an important sector in a country's economy. However, MSMEs in Indonesia still experience various problems. One of the factors that can affect the quality of human resources in MSMEs is work ethic. So, the role of religious education in improving the work ethic of MSME owners needs to be studied further. This study aims to explain the role of religious education in improving the work ethic of MSME owners and provide a deeper understanding of the factors that influence work ethic in MSMEs and how religious education can help improve the work ethic. This research is qualitative in nature. Data collection techniques include listening and recording important information to conduct data analysis through data reduction, data display, and conclusion drawing. The results of this study conclude that religious education can play an important role in improving the work ethic of MSME owners. The moral values and business ethics taught in religious education can help MSME owners to develop a good work ethic and build a sustainable successful business.

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Section: Resultsmentioning

confidence: 99%

Analysing the Role of Religious Education in Improving the Work Ethic of MSME Owners

Harahap

Ausat

Suherlan

2023

joe

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“…For the process of analysis, the Rapid Miner Studio 9.10 software was used. In the Online Shoppers Purchasing Intention (Subagja, 2023;Suherlan, 2023) dataset from the UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets.php, the boosting method was used with the C4.5 algorithm to reduce the level of classification error. This dataset is also used in research on multilayer perceptron and LSTM recurrent neural networks (Sakar et al, 2019) (Sakar et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Untitled

2023

JOWUA

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The goal of this research is to use the boosting technique with the C4.5 algorithm to lower the number of wrong classifications. One of the techniques for boosting is called Adaboost. It can balance the class by giving more weight to the level of classification error, which can change how the data is spread out. The Online Shoppers Purchasing Intention dataset from the UCI Machine Learning Repository is used to test this method. It has 12330 records and 18 attributes, with a label being one of those attributes. In this study, the results were looked at with the help of software called RapidMiner 9.10. Before the processing stage, the dataset is split into two parts: training and testing, with a 90:10 and 80:20 split, respectively. The results of the experiments with the C4.5 algorithm and the boosting technique at a ratio of 90:10 (accuracy of 95.07 percent and AUC of 0.966) and a ratio of 80:20 (accuracy of 95.07 percent and AUC of 0.966). While the experimental results of the C4.5 algorithm without the boosting technique at a ratio of 90:10 (accuracy of 89.02 percent and AUC of 0.845) and a ratio of 80:20 (accuracy of 88.1 percent and AUC of 0.845). Based on the results of the comparison, boosting on the C4.5 algorithm is much better than the standard C4.5 algorithm, with an average increase of 5.76 percent. We can say that using the boosting technique with the C4.5 algorithm can improve high accuracy and lower the amount of classification error.

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“…In addition to technology-driven methods, decision-making in e-commerce operations is also influenced by organizational and strategic factors [30]. The importance of strategic alignment between e-commerce business models and decision-making processes must be considered.…”

Section: Technologies That Enhance Decision-making In E-commerce Proc...mentioning

confidence: 99%

Harnessing the power of blockchain technology to support decision-making in e-commerce processes

Al-Moghrabi,

Al-Ghonmein

2024

IJ-AI

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Technology, such as blockchain, has emerged as a promising solution for addressing the challenges of e-commerce decision-making. In this study, we explore the potential benefits of integrating blockchain technology into e-commerce and its role in supporting decision-making in e-commerce. We also examine blockchain’s benefits in terms of enhanced security, transparency, and efficiency for e-commerce platforms. Furthermore, the study discusses the challenges of implementing blockchain for e-commerce, including scalability, integration, regulatory frameworks, user experience, privacy, interoperability, and sustainability. By analyzing these challenges, the study provides valuable insights for future research and development efforts to facilitate a seamless adoption of blockchain technology in e-commerce decisions. Blockchain technology holds the potential to transform an e-commerce ecosystem by overcoming these challenges and unlocking its transformative potential.

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Analysis of Factors Leading to E-commerce Adoption

Cited by 20 publications

References 10 publications

Analysing the Role of Religious Education in Improving the Work Ethic of MSME Owners

Analysing the Role of Religious Education in Improving the Work Ethic of MSME Owners

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Harnessing the power of blockchain technology to support decision-making in e-commerce processes

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